Abstract: Systems and methods enable optimized infrastructure deployment planning and validation. In embodiments, a method includes: training, by a computing device, a machine learning (ML) predictive model with historic infrastructure deployment data of a plurality of resource providers in a network environment, including resource dependencies; generating, by the computing device, a deployment topology for requested resources of an information technology (IT) deployment request of a user; generating, by the computing device using the ML predictive model, a confidence score regarding a likelihood of successful implementation of the deployment request based on dependencies of the deployment topology; and dynamically implementing, by the computing device, deployment of the IT deployment request to provision the requested resources from multiple providers in the network environment based on the confidence score.